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Chapter 4 Cost-Volume-Profit Analysis

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Chapter 4 Cost-Volume-Profit Analysis Revenues Costs Presentation Outline Common Cost Behavior Patterns Cost Estimation Methods The Relevant Range Cost-Volume Profit ... – PowerPoint PPT presentation

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Title: Chapter 4 Cost-Volume-Profit Analysis


1
Chapter 4Cost-Volume-Profit Analysis
Revenues
Costs
2
Presentation Outline
  1. Common Cost Behavior Patterns
  2. Cost Estimation Methods
  3. The Relevant Range
  4. Cost-Volume Profit Analysis
  5. Degree of Operating Leverage
  6. Excel and Regression Analysis

3
I. Common Cost Behavior Patterns
  1. Variable Costs
  2. Fixed Costs
  3. Discretionary versus Committed Fixed Costs
  4. Mixed Costs
  5. Step Costs

4
A. Variable Costs
  • Although variable cost per unit remain constant,
    total variable cost increases and decreases in
    proportion to changes in the activity level.


Variable cost in total
Level of Activity
5
B. Fixed Cost in Total
  • Although fixed cost per unit decreases with
    increases in activity levels, total fixed cost is
    not affected by changes in the activity level
    within the relevant range (i.e., total fixed cost
    remains constant even if the activity level
    changes.


Total fixed cost
Level of Activity
6
C. Discretionary versus Committed Fixed Costs
  • Committed Fixed Costs
  • Examples include rent, depreciation, insurance.
    Two key factors are
  • Long term in nature
  • Cant be reduced to zero even for short periods
    of time without seriously impairing the
    organization.
  • Discretionary Fixed Costs
  • Arise from annual decisions by management to
    spend in certain fixed cost areas (i.e.,
    advertising, research and development,
    maintenance).

7
D. Mixed Cost
  • A mixed cost has both a variable and a fixed
    component.


Total cost line
Variable component
Fixed component
Level of Activity
8
E. Step Costs
  • Step costs are those costs that are fixed for a
    range of volume but increase to a higher level
    when the upper bound of the range is exceeded.
    At that point the costs again remain fixed until
    another upper bound is exceeded.


Level of Activity
9
II. Cost Estimation Methods
  • High-Low Method
  • The Variable Cost Element
  • The Fixed Cost Element
  • Scattergraphs
  • Outliers
  • Regression Analysis

10
A. The High-Low Method
  • The high-low method determines the fixed and
    variable portions of a mixed cost by using only
    the highest and lowest levels of activity and
    related costs within the relevant range.

11
1. The Variable Cost Element
Total Cost Line

Variable Cost
Fixed Cost
Activity Level
The variable cost element b is computed as
follows
b (Cost at high activity level) (Cost at low
activity level)
(High activity level) (Low activity level)
12
2. The Fixed Cost Element
Variable cost per unit
Number of units of activity
y a b x
  • The fixed portion of a mixed cost is found by
    subtracting total variable cost from total cost
    (high or low level).

Total cost
Fixed cost
See Illustration on Page 120
13
B. Scattergraph
  • A scattergraph is a graph that plots all known
    activity observations and the associated costs.
    A regression line is the line of best fit which
    is the least squares regression line. In a
    scattergraph, the line is estimated.

14
1. Outliers
  • Outliers are abnormal or nonrepresentative
    observations within a data set that may be
    inadvertently used in the application of the
    high-low method.

15
C. Regression Analysis
  • Regression analysis is a statistical technique
    that analyzes the association between dependent
    and independent variables.
  • An independent variable is a variable that, when
    changed, will cause consistent and observable
    changes in the dependent variable.

16
1. Illustration Using Microsoft Excel
17
2. Simple Regression v. Multiple Regression
  • Simple Regression
  • Only one independent variable is used to predict
    the dependent variable.
  • y a b x
  • Multiple Regression
  • Two or more independent variables are used to
    predict the dependent variable.
  • y a b1x1 b2x2

18
III. The Relevant Range
  • The assumed range of activity is referred to a
    the relevant range, which reflects the companys
    normal operating range. The relevant range is
    the range over which cost behavior assumptions
    are valid.
  • The Relevant Range and Total Variable Cost
  • The Relevant Range and Total Fixed Cost

19
A. The Relevant Range and Total Variable Cost
  • Although total variable cost increases when
    activity increases, the rate is only constant
    within the relevant range.


Total variable cost
Relevant range
Level of Activity
20
B. The Relevant Range and Total Fixed Cost
  • Total fixed cost can behave in a step-cost manner
    when outside the relevant range..


Total fixed cost
Relevant range
Level of Activity
21
IV. Cost-Volume-Profit Analysis
  1. Contribution Margin Concepts
  2. The Profit Equation
  3. Contribution Margin Method
  4. Multiproduct Analysis
  5. Constraints
  6. Cost-Volume-Profit Assumptions
  7. Margin of Safety

22
A. Contribution Margin Concepts
  • Sales Variable Expenses Contribution Margin
  • Contributes toward covering fixed expenses and
    then toward providing a profit.
  • May be computed per unit or in total (see page
    235).
  • Contribution margin ratio is the contribution
    margin divided by sales (see page 240)

23
B. The Profit Equation
Total Sales
Variable costs
Fixed costs
Target pretax profit



or
Unit selling price
Unit variable cost
Fixed costs
Target pretax profit
x

x


Note x Number of units sold
Solve for x to determine units that must be sold
to reach a certain target pretax profit. Target
pretax profit equals zero to compute breakeven.
24
C. Contribution Margin Method
Unit Sales Needed to Reach a Target Pretax Profit
Fixed costs Target pretax profit
Target units

Unit contribution margin
Sales Dollars Needed to Reach a Target Pretax
Profit
Fixed costs Target pretax profit
Target sales

Contribution margin ratio
Target pretax profit equals zero to compute
breakeven.
25
D. Multiproduct Analysis
  • Contribution Margin Approach (See example on
    pages 127-128)
  • Contribution Margin Ratio Approach (See example
    on pages 128-131)

26
E. Constraints
  • When there are constraints on how many items can
    be provided, the focus shifts from the
    contribution margin per unit to the contribution
    margin per unit of constraint. See illustration
    on page 135.

27
F. Cost-Volume-Profit Assumptions
  • Selling price remains constant
  • Cost can be accurately separated into fixed and
    variable components
  • Variable and fixed cost behavior assumptions hold
  • Sales mix is constant

28
G. Margin of Safety
How much can sales drop before we incur a loss?
  • Actual sales dollars
  • - Breakeven sales dollars
  • Margin of Safety in Dollars

Actual unit sales - Breakeven unit sales
Margin of Safety in Units
29
V. Degree of Operating Leverage
  • Operating leverage is a measure of the mix of
    variable and fixed costs in a firm.

Degree of operating leverage
Total contribution margin

Pretax profit
The degree of operating leverage can be used to
predict the impact on profit before tax of a
given percentage increase in sales. For example,
if the degree of operating leverage is 2.5 and
there is a 10 increase in sales, then pretax
profit should increase by 25.
30
VI. Excel and Regression Analysis
An Illustration of Regression Analysis Using
Microsoft Excel
31
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32
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33
Dependent variable
Independent variable
34
y 3,998.25 2.09x
Variable Cost per Unit
Prediction equation
Number of Units
Fixed Cost
35
Slope of regression line
Fixed Cost
3,998.25
36
Coefficient of Correlation
The multiple R (called the coefficient of
correlation) is a measure of the proximity of the
data points to the regression line. In addition,
the sign of the statistic ( or -) tells us the
direction of the correlation. In this case,
there is a positive correlation between the
number of pizzas produced (independent variable)
and the total overhead costs (dependent
variable). A coefficient of correlation may
range from zero (no relationship, to 1 (perfect
relationship).
37
A coefficient of correlation of 1 would indicate
that all data observations fall on the
regression line.
38
Coefficient of Determination
The R Square (often represented R2 and called the
coefficient of determination) is a measure of
goodness of fit (how well the regression line
fits the data). R2 can be interpreted as the
proportion of variation in the dependent variable
(overhead costs) that is explained by changes in
the dependent variable (the number of pizzas).
The R2 may range from zero to one. An R2 of less
than one indicates that other independent
variable might have an impact on the dependent
variable.
39
Summary
  • Cost behavior
  • Separating mixed costs
  • The relevant range
  • Target net profit and breakeven analysis
  • Degree of operating leverage
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